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Springer Recent Advances of Hybrid Intelligent Systems 915

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Description

Explore the latest developments in computational intelligence with this specialized volume from Springer. Part of the Studies in Computational Intelligence series, this book provides a detailed look at recent advances in fuzzy logic, neural networks, and optimization algorithms. It covers the practical application of hybrid combinations across several critical fields, including intelligent control, robotics, and pattern recognition. Readers will find a comprehensive collection of papers that address complex problem-solving through soft computing. The content includes specific research on type-1 and type-2 fuzzy logic, offering new concepts and algorithms for modern technical challenges. Whether you are researching medical diagnosis, time series prediction, or optimization, this collection provides the academic foundation needed to understand how hybrid systems function in real-world scenarios.

Key Features

Comprehensive coverage of fuzzy logic, neural networks, and optimization algorithms for advanced research.

Detailed analysis of hybrid combinations used in intelligent control and robotics applications.

Specialized research papers focusing on both type-1 and type-2 fuzzy logic concepts.

Practical insights into pattern recognition, medical diagnosis, and time series prediction.

Academic collection designed to assist with the optimization of complex computational problems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 November 2020
Listed Since
30 July 2020

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